85 citations · 182 across the 12 of their papers we have counts for
4 papers · 1 filter
Cognitive simulation models for inertial confinement fusion: Combining simulation and experimental data
K. D. Humbird, J. L. Peterson, J. Salmonson +1
The design space for inertial confinement fusion (ICF) experiments is vast and experiments are extremely expensive. Researchers rely heavily on computer simulations to explore the…
Transfer learning to model inertial confinement fusion experiments
K. D. Humbird, J. L. Peterson, R. G. McClarren
Inertial confinement fusion (ICF) experiments are designed using computer simulations that are approximations of reality, and therefore must be calibrated to accurately predict exp…
Predicting the time-evolution of multi-physics systems with sequence-to-sequence models
K. D. Humbird, J. L. Peterson, R. G. McClarren
In this work, sequence-to-sequence (seq2seq) models, originally developed for language translation, are used to predict the temporal evolution of complex, multi-physics computer si…
Deep neural network initialization with decision trees
K. D. Humbird, J. L. Peterson, R. G. McClarren
In this work a novel, automated process for constructing and initializing deep feed-forward neural networks based on decision trees is presented. The proposed algorithm maps a coll…